Triple
T514503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunan First Normal School |
E10675
|
entity |
| Predicate | hasBuildingOrSite |
P14728
|
FINISHED |
| Object | former dormitory of Mao Zedong |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: former dormitory of Mao Zedong | Statement: [Hunan First Normal School, hasBuildingOrSite, former dormitory of Mao Zedong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingOrSite Context triple: [Hunan First Normal School, hasBuildingOrSite, former dormitory of Mao Zedong]
-
A.
containsBuilding
chosen
Indicates that one location or area includes a building within its boundaries.
-
B.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
C.
isSiteOf
Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
-
D.
isPublicBuilding
Indicates that a building is designated for public use, access, or service rather than being privately owned or restricted.
-
E.
hasHeadquartersBuilding
Indicates that an organization possesses a specific building that serves as its headquarters location.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.